{"id":"W2516221362","doi":"10.1002/jmri.25438","title":"Multi‐echo GRE imaging of knee cartilage","year":2016,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Imaging","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Child and Family Research Institute; British Columbia Centre of Excellence for Women's Health; University of British Columbia; University of British Columbia Hospital","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Magnetic resonance imaging; Cartilage; Arthroscopy; Medicine; Articular cartilage; Cartilage damage; Echo (communications protocol); Osteoarthritis; Magnitude (astronomy); T2 relaxation; Nuclear medicine; Radiology; Anatomy; Pathology; Physics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007338813,0.0003909302,0.0001832757,0.000415145,0.00008355857,0.0004404967,0.0002734381,0.0007434645,0.00165743],"category_scores_gemma":[0.001301016,0.0001999536,0.000174732,0.0001105833,0.0002505291,0.0003311056,0.0002504228,0.0002509725,0.0006618766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001181952,"about_ca_system_score_gemma":0.000140762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002235585,"about_ca_topic_score_gemma":0.0004183356,"domain_scores_codex":[0.999843,0.00005258942,0.000009650721,0.00003420825,0.00004541462,0.00001513091],"domain_scores_gemma":[0.9995248,0.0001790383,0.00008506056,0.00007070084,0.00009620799,0.00004424135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002953951,0.00004869427,0.003360161,0.0001650237,0.00003169228,0.0004694112,0.0000363465,0.00083436,0.9700079,0.000109288,0.0001367958,0.02450492],"study_design_scores_gemma":[0.0001542225,0.001704619,0.05408677,0.00008455742,0.0001560351,0.02420776,0.00009748775,0.0275836,0.8846244,0.0005048676,0.006742914,0.00005275118],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9038622,0.005610064,0.08733428,0.0003827483,0.00005123148,0.00005407346,0.0001508839,0.0004833862,0.002071112],"genre_scores_gemma":[0.9275646,0.001145596,0.06984406,0.0002319012,0.0000445897,0.00003944815,0.0001661306,0.00007554506,0.0008880153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00165743,"threshold_uncertainty_score":0.005544662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01006463923919302,"score_gpt":0.2523621026138674,"score_spread":0.2422974633746744,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}